Good doesn’t come cheap or fast: Understanding data ethics with Dr Tanweer

Edinburgh Futures Institute

Join us as we hear from EFI Visiting Fellow Dr Anissa Tanweer on understanding data ethics as situated practice.

Room 2.55, Edinburgh Futures Institute, The University of Edinburgh

Centre for Technomoral Futures

Part of the Edinburgh Futures Institute, the Centre for Technomoral Futures works to unify technical and moral knowledge in new models of research, education, design and engagement that directly serve the goals of sustainable, just and ethical innovation.

<h3>Good doesn’t come cheap or fast: Understanding data ethics as situated practice</h3> Join us in person on Tuesday the 28th of January, at the Edinburgh Futures Institute, as we hear from EFI Visiting Fellow, Dr Anissa Tanweer on understanding data ethics as situated practice. Doors open at 16.45, with Dr Tanweer's lecture starting at 17.05. <h4>Abstract</h4>There has been much interest of late in making data-centric computational technologies more ethical and responsible—both preventing the many harms they can cause and harnessing their power for societal benefit. In this talk, Dr. Anissa Tanweer will present ethnographic stories of people and projects enrolled in such efforts to do “good” with data. From their experiences, she distils lessons about the norms, processes, and structures that can more robustly support data ethics in practice, and shows that good doesn’t come cheap or fast.

<h4>Speaker Bio</h4>Dr Anissa Tanweer (<a href="https://www.technomoralfutures.uk/news-database/efi-visiting-fellows-2024-2025" title="https://www.technomoralfutures.uk/news-database/efi-visiting-fellows-2024-2025" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">EFI Visiting Fellow</a> from September 2024 - February 2025) conducts research on the practice and culture of computationally-mediated science. She leads a longterm ethnographic study concerned with the rise of data science in the academy, and her newest project focuses on the moral economy of data-intensive astrophysics. In her post with the <a href="https://escience.washington.edu/" title="https://escience.washington.edu/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">eScience Institute</a> at the University of Washington, she applies her sociotechnical lens to the development, implementation, and evaluation of collaboration and training programs for data-intensive academic research. This includes her work with the <a href="https://escience.washington.edu/using-data-science/data-science-for-social-good/" title="https://escience.washington.edu/using-data-science/data-science-for-social-good/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">UW Data Science for Social Good</a> program and the <a href="https://escience.washington.edu/software-engineering/ssec/" title="https://escience.washington.edu/software-engineering/ssec/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">UW Scientific Software Engineering Center</a>.

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